The initial concept of flood control has gradually shifted to flood risk management which emphasizes more public participation. Therefore, understanding the public's protective coping behavioral patterns to floods is significant, and can help improve the effectiveness of public participation and implementation of flood-mitigation measures. However, the quantitative effect of socio-demographic factors on flood risk perception and behaviors is not clear. In this study, the socio-demographic factors are included to explore the quantitative relationship with and the affect path to flood protective coping behaviors with socio-demographic factors are studied. Shenzhen City in China is chosen as the study area, which suffers frequent urban floods every year. Questionnaire surveys are conducted in five flood-prone communities there, and 339 valid questionnaires were collected. The correlations between flood risk perception, flood risk knowledge, flood risk attitude, socio-demographic factors, and protective coping behaviors are analyzed firstly. A structural equation model (SEM) about these factors is then established to verify the correctness of hypothetical paths and discover new paths. The results indicates that socio-demographic factors and flood risk perception do not have impacts on protective coping behaviors directly, but are mediated by flood risk knowledge and flood risk attitude. Flood risk attitude is an important factor that affects protective coping behaviors directly. Moreover, two affect paths to flood protective coping behaviors are proposed. The findings of Shenzhen city in this study can be extended to other cities with similar characteristics, providing support for conducting effective flood mitigation measures.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7037690 | PMC |
http://dx.doi.org/10.3390/ijerph17030940 | DOI Listing |
Sci Rep
January 2025
UNESCO Centre of Water Law, Policy & Science, University of Dundee, Dundee, UK.
Understanding snow and ice melt dynamics is vital for flood risk assessment and effective water resource management in populated river basins sourced in inaccessible high-mountains. This study provides an AI-enabled hybrid approach integrating glacio-hydrological model outputs (GSM-SOCONT), with different machine learning and deep learning techniques framed as alternative 'computational scenarios, leveraging both physical processes and data-driven insights for enhanced predictive capabilities. The standalone deep learning model (CNN-LSTM), relying solely on meteorological data, outperformed its counterpart machine learning and glacio-hydrological model equivalents.
View Article and Find Full Text PDFSci Total Environ
January 2025
School of Environmental Sciences, Jawaharlal Nehru University, New Delhi 110067, India. Electronic address:
The Gangetic Plain, one of the world's most fertile regions, is vital to food and water security in densely populated areas. However, metal contamination in sediments and water poses significant challenges, owing to intensified industrial and agricultural activities and periodic flooding. The ecological risks imposed by metals in the Middle Gangetic Plain remain underexplored because of limited data on their bioavailability across varying sediment depths.
View Article and Find Full Text PDFEnviron Manage
January 2025
CITTA - Research Centre for Territory, Transports and Environment, Department of Civil Engineering, Faculty of Engineering, University of Porto, Porto, Portugal.
The paradigm of Adaptive Planning and Management provides several methodological approaches for designing robust adaptive plans to cope with uncertain future changes, namely the Adaptation Pathways' method (APs). These approaches, particularly those containing APs, have captured increasing interest in the field of coastal climate adaptation as useful for guiding its planning and management. While these approaches have been tested in several research cases, there are still few real cases of application into coastal spatial planning instruments.
View Article and Find Full Text PDFBackground/objectives: Adaptive optics ophthalmoscopy (AOO) has the potential to provide insights into AMD pathology and to assess the risk of progression. We aim to utilise AOO to describe detailed features of intermediate AMD and to characterise microscopic changes during atrophy development.
Subjects/methods: Patients with intermediate AMD were recruited into PINNACLE, a prospective observational cohort study.
Sci Rep
January 2025
European Union Disaster Risk Management Consultant, Ambo, Ethiopia.
In recent decades, the global climate has changed mainly due to human-induced causes and realizing their manifestations in the forms of extreme events such as droughts, floods, heat stress, and variability in rainfall. Arid and semi-arid ecosystems are sensitive to changes in climate variability, including the Borana zone. This study was therefore initiated to assess how vulnerable pastoral and agro-pastoral livelihoods are to climate change, as well as to estimate the effects, and pinpoint potential response measures that could be implemented in the study area.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!